In this paper, we develop a multi-objective stochastic programming approach for supply chain design under uncertainty. Demands, supplies, processing, transportation, shortage and capacity expansion costs are all considered as the uncertain parameters. To develop a robust model, two additional...

We provide an analytical expression for optimal Lewenstein–Sanpera decomposition of Bell decomposable states by using semi-definite programming. Also using the Karush–Kuhn–Tucker optimization method, the minimum relative entropy of entanglement of Bell decomposable states has been...

In this study the intimate connection is established between the Banach space wavelet reconstruction method on homogeneous spaces with both singular and nonsingular vacuum vectors, and some of the well known quantum tomographies, such as: Moyal-representation for a spin, discrete phase space...

In the current work we examine the possibility of ferromagnetism phase of quark matter by using the one gluon exchange interaction and the thermodynamics with the density–temperature-dependent particle masses as well as the normal thermodynamics (with constant masses). We calculate the free...

The thermodynamic properties of normal liquid helium 3 are calculated by using the lowest order constrained variational (LOCV) method. The Landau Fermi liquid model and Fermi–Dirac distribution function are considered as our statistical model for the uncorrelated quantum fluid picture and the...